Barely Significant

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highly significantp < 0.0010.0× alphaqualifiedgold
Statistically significant changes were classified as significant (*) when p < 0.05, more significant (**) when p < 0.01, and highly significant (***) when p < 0.001 as compared with the control group and significant (^) when p < 0.05, more significant (^^) when p < 0.01, and highly significant (^^^) when p < 0.001 as compared with the inflammation group.
highly significantp < 0.0010.0× alphaqualifiedgold
Intra-Morphotype Variations in Respiratory Metabolic Rates Across Three Temporal Intervals in a Day As shown in Figure 2 , the Kruskal–Wallis test revealed highly significant differences in respiratory metabolic rates (RMRs) among the three time intervals for both the males and fundatrices ( p < 0.001).
highly significantp < .0010.0× alphaqualifiedgold
For the twelve counties with n > 20 for both the hunter records and our field surveys, we found a highly significant effect of survey method ( F = 86.9, df = 1, p < .001) with hunter records reporting lower proportions of melanism, on average, compared to our field surveys (see below).
a positive trendp < 0.0010.0× alphagold
There was no linear trend between marital assets and marital age in (a) uneducated women (Spearman’s coefficient 0.01, p = 0.631), those with (b) primary (−0.06, p = 0.272) or (c) lower-secondary education (0.01, p = 0.868), but a positive trend among those with (d) secondary or higher education (0.14, p < 0.001).
highly significantp = 0.0010.0× alphaqualifiedgold
Although the parameter estimate for a linear effect on Digit Span was highly significant ( p = 0.001), most of the outcomes did not exhibit statistically significant linear trends, perhaps because much of the performance decline had already occurred within the lowest cumulative exposure category, resulting in a nonlinear relationship over the observed range of cumulative exposure.